Agent-based modelling of electric vehicle driving and charging behavior

Electromobility lies on the crossroad between mobility and energy systems. The individual heterogeneous behaviours, and especially the spatial distribution and dynamism of the system make it a complex one. In this work, it is proposed an agent-based model to reflect this complexity and create a bottomup model which addresses specifically driving and charging behaviours of the individual agents. The model was implemented in a simple network which included the commonly used facilities in a city. This allows the computation of the generated load curve in a geographical context for any network. Different technical parameters were varied, as well as the driving and charging behaviours. The load curve as an aggregated result showed emergent patterns such as non-trivial effects when increasing the charging power. The model provides qualitative results from an exploratory point of view, which help to better understand electromobility systems by relating its causes and effects.